A series of interactive lab notebooks we prepared for the 7.044.1,00 Introduction into Artificial Intelligence and Machine Learning course offered in the Master of Arts in Business Innovation (MBI) at the University of St.Gallen (HSG).
The content is build on a series of Jupyter Notebooks based on Python, IPython Notebook, Scikit-Learn and PyTorch.
Cloning the repository to Azure Notebooks:
This is currently work in progress so expect minor errors and some rough edges ;)
Lab 00: "Testing the Lab Environment" (, )
Lab 01: "Introduction to the Lab Environment" (, )
Lab 02: "Fundamentals of Python Programming" (, )
Lab 03: "Supervised Machine Learning"
Lab 04: "Unsupervised Machine Learning"
Lab 05: "Deep Learning - Artificial Neural Networks (ANNs)" (, )
Lab 06: "Deep Learning - Convolutional Neural Networks (CNNs)" (, )
Coding Challenge: "Data Download and Annotation Notebook" (, )
Install dependencies via pip install -r requirements.txt
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Pls. don't hesitate to send us all your questions using the course mail address:
aiml-teaching ( dot ) ics ( at ) unisg ( dot ) ch